About Us

Sense is transforming the way companies hire with AI-powered technology designed to bring unprecedented speed, precision, and personalization to every step of the recruiting process. Our mission is to reimagine how organizations engage with talent—creating faster, smarter, and more human experiences for employers, recruiters, and job seekers alike.

Founded in 2015, Sense is a high-growth HR Tech SaaS company serving over 1,000 customers worldwide. With 250+ team members and backing from Google Ventures, SoftBank, Accel, and Avataar Ventures, we’ve scaled rapidly and continue to lead innovation in talent engagement and automation.

Our diverse and collaborative team is tackling one of the most universal challenges in the workforce—helping people find meaningful work faster. At Sense, you’ll have the opportunity to shape innovative AI solutions that are changing how the world hires, impacting millions of careers globally. Join us in building the future of hiring.

Job Description

Role — Analytics Engineering Intern

As an Analytics Engineering Intern, you’ll work with the Analytics team to build and maintain
data pipelines, transform large-scale datasets, and enable reliable insights across the company.
This is a hands-on role where you’ll work on real production data and systems used daily by
Product, Engineering, GTM, and Leadership teams.
You’ll be part of a team that handles data at a scale of 5+ PB per month, giving you exposure
to real-world data challenges around performance, reliability, and correctness.

What You’ll Do
● Write production-grade code in Python to build and maintain data pipelines.
● Work with large datasets to ingest, transform, and model data for analytics and reporting
use cases.
● Gain hands-on experience with Snowflake for data warehousing, querying, and
performance optimization.
● Collaborate with Analytics Engineers and Data Analysts to define data models and
metrics.
● Help improve data quality, monitoring, and validation across pipelines.
● Debug pipeline failures, analyze data discrepancies, and help resolve root causes.
● Learn best practices around scalable data processing and analytics engineering.

Who You Are

● Pursuing a Bachelor’s/Master’s degree in Computer Science, Engineering, Statistics, or
a related field.
● Strong fundamentals in Python and data structures.
● Interest in data engineering, analytics, and working with large-scale datasets.
● Basic understanding of SQL and data warehousing concepts.
● Curious mindset with a desire to understand how data flows through systems
end-to-end.
● Comfortable working in a fast-paced, collaborative environment.

Perks & Benefits
● Competitive compensation.
● Wellness days for rest and recharge.
● Flexible work policies to support learning and performance.

What You’ll Gain
● Hands-on experience working with large-scale data pipelines and Snowflake in
production.
● Exposure to real business use cases and decision-making powered by data.
● Mentorship from experienced Analytics Engineers.
● Opportunity to contribute to systems processing 5+ PB of data every month.
● Strong foundation for a future role in analytics engineering, data engineering, or data
science